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Page Background

25th European Congress of Psychiatry / European Psychiatry 41S (2017) S583–S644

S611

tion, self-esteem and support, were chosen by the participants and

discussed at each weekly session.

Results

In the discussion groups, the students were able to exer-

cise care based on the exchange of knowledge with the patients

who use the service. The ties established in each session enabled

the identification of the specific needs of each individual, such as

the desire to learn how to improve one’s self-esteem, and the active

participation of the patients.

Conclusions

The experiences assisted the students in developing

the role of the nurse as an educator. The group actions underscored

the importance of the skill of health education among nurses.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.966

EV0637

Specialist clinic dedicated to chronic

mental illness and metabolic

monitoring

B. McCafferty

Sligo Mental Health Services, General Adult Psychiatry Sligo Town Dr

Adamis Service, Sligo, Ireland

Introduction

People with serious mental illness exhibit higher

morbidity and mortality rates of chronic disease than the general

population. A significant proportion of premature deaths has been

related tomodifiable cardiovascular risk factors andmay be related

to medications taken for mental illness.

Objectives

Establish a clinic for a cohort of patients with chronic

mental illness dedicated to monitoring physical health focusing on

modifiable risk factors.

Methods

Patients with chronic mental illness taking psy-

chotropic medications long term were invited to attend clinic.

The following areas were examined: History focusing on current

mental state, cardiovascular history assessing diet, exercise, per-

sonal and family history of cardiovascular disease, Exam including

waist circumference, BP, pulse, ECG and calculation of BMI. Lab-

oratory tests including HbA1c, Lipid profile, and other tests as

appropriate such as serum lithium. Examination for tardive dysk-

inesia (Abnormal Involuntary Movement Scale (AIMS)), outcomes,

(Health of the Nation outcome scale (HoNos)) and quality of life

(WHOQOL-Bref) were performed also performed as additional indi-

cators of global health.

Results

Sample consisting of 47 patients. Mean age 56.1 (SD:

13.6) males 27 (60%). Mean years of illness 23.1(SD:12.2). Mean

HoNos 2.7 (SD 2.5). Four cases prolonged QTc, 5 HbA1c > 6% (2 no

prior record of elevation); 18 abnormal lipid profiles, (12 no prior

record of elevation); 4 blood pressure readings

140/90, 3 no prior

diagnosis of hypertension; 18 BMI > 25.

Conclusions

This is a newly established clinic. Preliminary results

have highlighted modifiable risk factors some of which may rep-

resent new diagnoses. Close liaison with General Practice is of

importance.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.967

EV0638

Quality of life in people with chronic

mental illness

B. McCafferty

Sligo Mental Health Services, General Adult Psychiatry Sligo Town Dr

Adamis Service, Sligo, Ireland

Introduction

An association between chronic mental illness and

significantly reduced quality of life in relation to the general popu-

lation is speculated in the literature internationally.

Objectives

To investigate the quality of life of peoplewith chronic

mental illness taking psychotropicmedication living in the commu-

nity and attending the Mental Health Services of Sligo town.

Methods

Review of data including demographics, diagnoses

and World Health Organisation Quality of Life Bref scale

(WHOQOL-Bref) scores from consecutive patients attending spe-

cialist outpatient clinics dedicated to the care of people with

chronic mental illness. Raw scores for each WHOQOL-Bref domain

were converted to transforme scores in the range 0–100 for ease of

comparison with other validated instruments tools.

Results

Total number of patients: 47. Mean age: 56.1 (SD: 13.6),

males: 27 (60%). Mean years of illness: 23.1 (SD: 12.2). Primary psy-

chiatric diagnosis: psychotic disorders 26 (57.8%), mood disorders

16 (35.6%), others 3 (6.6%). WHOQOL-BREF Domain transformed

scores: physical health mean: 68.1, SD: 19.92, psychological health

mean: 68.2, SD: 19.62, social relationships: 66.2, SD: 21.44, envi-

ronment: 76.8, SD: 19.5.

Conclusions

Quality of life is a complex multidimensional entity

and its assessment relies on subjective reporting and analysis as

supported by validated instrument tools. Our results suggest that

quality of life is reasonably high among this cohort of patients, con-

trasting much of the current literature in similar populations. The

mean score for social relationships was lower than other domains.

This may suggest that a lack of socialisationmay be associated with

chronic mental illness and identifies a clinical focus for improve-

ment of quality of life.

Disclosure of interest

The author has not supplied his/her decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.968

EV0639

Correlation between resilience with

aggression and hostility in university

students

F. Mojrian

1 ,

, A . H

omayouni

2 , Z. R

ahmedani

2 , M.

Alizadeh

2

1

Department of Psychology- Bandargaz Branch, Islamic Azad

University, Bandargaz, Department of Psychology, Bandargaz, Iran

2

Department of Psychology, Bandargaz Branch- Islamic Azad

University, Bandargaz, Iran

Corresponding author.

Resilience as a capacity to withstand stress and calamity is one

of the important components of mental health and aggressive is a

negative behaviour that can threatenhumanhealth. So, the purpose

of this study was to investigate the correlation between resilience

with aggression and hostility in university students. The research

method is correlation, 155 university students were selected by

convenience sampling method and responded to Corner & David-

son resilience questionnaires and Boos & Perry aggression and

hostility questionnaire. The data were analysed by correlation for-

mula. The results showed that there is a significant and negative

correlation between resilience with aggression and hostility, which

means when the score of resilience is high, people’s aggression and

hostility decreases. Therefore, it is recommended to increase the

resilience of people by specific teaching programs to reduce the

basis of aggression and hostility.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.969